This class was created by Brainscape user tyrion lannister. Visit their profile to learn more about the creator.
By:
tyrion lannister
- decks
- flashcards
- learners
Decks in this class (26)
Week 1
What is the aim of pattern recogn...,
Disciplines related to pattern re...,
Disciplines to which pattern reco...
19
cards
Week 2
Define a discriminate function 1,
Math def of dichotomizer discrimi...,
Def linear discriminant function 3
29
cards
Week 3
Neurons in brain of human cat ins...,
Neuron consists of 2,
What is a synapse 3
41
cards
Week 4
Goal of nns 1,
Characteristics of nns 2,
Difference between ff nns and fee...
28
cards
Week 5
What is a deep nn what is shallow...,
Why question he s of deep nns why...,
Unnecessarily confusing example o...
42
cards
Week 6
Common uses of gans 1,
Explicit model trackable density 2,
Approximate density 3
23
cards
Week 7
Feature engineering modify 1,
Benefits of feature selection 2,
Feature extraction 3
22
cards
Week 8
Relate svms to linear discriminan...,
Goal of svms 2 class classificati...,
How to design optimal svm 3
21
cards
Week 9
Motivate ensemble methods 1,
Idea of ensemble methods 2,
What is bagging 3
20
cards
Week 10
Purposes of clustering 1,
Types of clustering 2,
K means clustering problem goal c...
21
cards
Tut 1
Exemplar 1,
Dataset 2,
Generalisation 3
10
cards
Tut 2
Columns for sequential perception...,
Columns for sequential multi clas...,
Columns for sequential widrow hof...
3
cards
week 2 - chatgpt
What is the main assumption behin...,
What is the update rule for the s...,
What is the update rule for the b...
11
cards
week 3 - chatgpt
What limitation of linear discrim...,
What is the key difference betwee...,
Why can t a single layer perceptr...
10
cards
week 4 - chatgpt
What limitation of single layer p...,
What is the universal approximati...,
Why are differentiable activation...
11
cards
week 5 - chatgpt
What is the main advantage of usi...,
What is the vanishing gradient pr...,
What is the exploding gradient pr...
12
cards
week 6 - chatgpt
What are the two components of a ...,
What is the main objective of a g...,
What is the typical loss function...
10
cards
week 7 -chatgpt
What is the difference between fe...,
What is the goal of principal com...,
Is pca a supervised or unsupervis...
11
cards
Tut 3
Annoying thing to remember with s...,
Thing to remember about negative ...,
Neuron def 3
5
cards
Tut 4
Hyperbolic tangent sigmoid functi...,
Process for calculating output of...
2
cards
Tut 5
Lrelu 1,
Prelu 2,
Def feature map 3
10
cards
Tut 6
Show how using e log d g z helps ...
1
cards
Tut 7
List 5 methods that can be used t...,
How to find the proportion of var...,
Oja s rule 3
7
cards
Sample Exam 1
For svm problem identify support ...,
Calculate w for 2 class linearly ...,
Calculating w0 for svm 3
5
cards
Sample Exam 2
Gradient update rule for multi cl...,
Rules to memorise for linear non ...,
Optimal discriminator 3
6
cards
Sample 3
For an n class classification pro...,
Techniques to pretty overfitting ...,
Hard and soft classifiers for svms 3
4
cards
More about
KCL Pattern Recognition, Neural Networks And Deep Learning
- Class purpose General learning
Learn faster with Brainscape on your web, iPhone, or Android device. Study tyrion lannister's KCL Pattern Recognition, Neural Networks And Deep Learning flashcards now!
How studying works.
Brainscape's adaptive web mobile flashcards system will drill you on your weaknesses, using a pattern guaranteed to help you learn more in less time.
Add your own flashcards.
Either request "Edit" access from the author, or make a copy of the class to edit as your own. And you can always create a totally new class of your own too!
What's Brainscape anyway?
Brainscape is a digital flashcards platform where you can find, create, share, and study any subject on the planet.
We use an adaptive study algorithm that is proven to help you learn faster and remember longer....
Looking for something else?
Neural Networks
- 4 decks
- 15 flashcards
- 20 learners
Decks:
Exam, Hopfield, Supervised Learning, And more!
CS7643 - Deep Learning
- 5 decks
- 402 flashcards
- 640 learners
Decks:
Quiz 1 Linear Classifiers Gradient Desce, Quiz 2 Optimization Cnn, Quiz 3 Cnn Architecture Visualization Ad, And more!
AWS (Deep Dive)
- 90 decks
- 3770 flashcards
- 34 learners
Decks:
Aws S3, Aws Ec2, Aws Base Knowledge, And more!
